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Searching... | 30000010117628 | T173.8 .W355 2009 | Open Access Book | Book | Searching... |
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Summary
Summary
This book summarizes highlights of the investigation of "An Elucidation of the Role of Institutional Systems in Characterizing Technology Development Trajectories - A Global Comparative Analysis of Manufacturing Technology and Information Te- nology in the Enhancement of Business Practice" supported by Grant-in-Aid for Scienti?c Research (S) by Japan's Ministry of Education, Culture, Sports, Science and Technology/Japan Society for Science Policy over the period 2002-2006. Background and objectives of the investigation are summarized as follows: (a) Japan ranks far below the level of the USA with respect to the development and utilization of information technology (IT) in the information society that emerged in the 1990s. (b) This can be attributed toa vicious cycle between Japan's non-elastic institutions, insuf?cient utilization of the potential bene?ts of IT, and economic stagnation. (c) The source of such a vicious cycle can be derived from the fundamental d- ferences of the characterizing process of technology between manufacturing technology (MT) and IT during their diffusion processes. This investigation - tempted to elucidate this mechanism. Noteworthy ?ndings obtained include: (a) MT has been developed largely by the supply side and its functionality is - tablished during the stage of its supply to the market. In contrast, IT is strongly driven by the demand side and its functionality is created through diffusion in a self-propagating way. This contrast can be clearly observed in the dramatic advancement of Japan's mobile phone industry in the late 1990s.
Table of Contents
1 Introduction | p. 1 |
2 Formation of IT Features Through Interaction with Institutional Systems: Empirical Evidence of Unique Epidemic Behavior | p. 3 |
2.1 Introduction | p. 3 |
2.2 Features of IT with Respect to Institutions | p. 6 |
2.2.1 Formation Process of Specific Features of Technology | p. 6 |
2.2.2 Analysis of Epidemic Behavior | p. 7 |
2.2.3 Features of IT | p. 15 |
2.3 Implications | p. 19 |
2.4 Conclusion | p. 21 |
Appendix 1 Mathematical Development of Logistic Growth Function Within a Dynamic Carrying Capacity | p. 22 |
Appendix 2 Data Construction and Sources | p. 24 |
A.2.1 Refrigerators | p. 24 |
A.2.2 Color TV Sets | p. 25 |
A.2.3 Cellular Telephones | p. 25 |
Appendix 3 Mathematical Development of SCE | p. 25 |
References | p. 29 |
3 Institutional Elasticity as a Significant Driver of IT Functionality Development | p. 31 |
3.1 Introduction | p. 31 |
3.2 Identification of IT Features with Respect to Institutions | p. 33 |
3.2.1 The Formation Process of Specific Features of Technology | p. 33 |
3.2.2 Analysis of Epidemic Behavior | p. 35 |
3.2.3 Features of IT | p. 46 |
3.3 Implications | p. 49 |
3.4 Conclusion | p. 50 |
Appendix Data Construction and Sources | p. 52 |
Appendix 1 TFP and IT Intensity | p. 52 |
Appendix 2 Epidemic Behavior | p. 52 |
A.2.1 Refrigerators (1951-1999) | p. 53 |
A.2.2 Fixed Telephones (1953-1999) | p. 53 |
A.2.3 Japanese Word Processors (1982-1997) | p. 54 |
A.2.4 Color TV Sets (1966-2000) | p. 54 |
A.2.5 Personal Computers (1987-2000) | p. 54 |
A.2.6 Cellular Telephones (1996-2001) | p. 54 |
References | p. 55 |
4 A Substitution Orbit Model of Competitive Innovations | p. 57 |
4.1 Introduction | p. 57 |
4.2 Substitution Orbit of Competitive Innovations | p. 59 |
4.2.1 Substitution Orbit: Japan's Experiences | p. 59 |
4.2.2 Comparative Assessment of Substitution Orbits | p. 64 |
4.3 Lotka-Volterra Equations for Predator-Prey Systems | p. 65 |
4.3.1 General Orbit Within Lotka-Volterra Equations | p. 65 |
4.3.2 Factors Governing the Twisting of an Orbit | p. 67 |
4.3.3 General Image of an Elliptical Orbit | p. 72 |
4.4 Orbit for Substitution: Policy Option in a Complex Orbit | p. 73 |
4.4.1 Maximum Diffusion Scale: d | p. 77 |
4.4.2 Carrying Capacity: ky | p. 77 |
4.4.3 Interaction Coefficient: ¿yx | p. 78 |
4.5 Conclusion | p. 78 |
References | p. 79 |
5 Impacts of Functionality Development on Dynamism Between Learning and Diffusion of Technology | p. 81 |
5.1 Introduction | p. 81 |
5.2 Dynamic Behavior of Learning Coefficient | p. 83 |
5.3 Learning and Diffusion of Technology | p. 88 |
5.3.1 Learning Coefficient Function Incorporating Functionality Decrease | p. 89 |
5.3.2 Technology Diffusion Trajectory Reflecting Functionality Decrease Effects | p. 92 |
5.3.3 Linking Learning and Diffusion of Technology | p. 96 |
5.4 Institutional Dynamism Leading to a Dynamic Interaction Between Learning, Diffusion and Spillover of Technology | p. 96 |
5.5 Conclusion | p. 99 |
References | p. 102 |
6 Diffusion, Substitution and Competition Dynamism Inside the ICT Market: A Case of Japan | p. 103 |
6.1 Introduction | p. 104 |
6.2 Methodology | p. 107 |
6.2.1 Model Synthesis | p. 107 |
6.2.2 Data Construction | p. 111 |
6.3 Diffusion and Substitution Process of ICT in Japan: Empirical Analysis with Diffusion and Substitution Models | p. 111 |
6.3.1 Telephony Market in Japan | p. 111 |
6.3.2 Mobile Telephony Market in Japan | p. 115 |
6.3.3 Internet Access in Market Japan | p. 122 |
6.4 Conclusion | p. 128 |
6.4.1 General Summary | p. 128 |
6.4.2 New Findings | p. 129 |
6.4.3 Policy Implications | p. 131 |
6.4.4 Future Works | p. 132 |
References | p. 133 |
7 The Co-Evolution Process of Technological Innovation: An Empirical Study of Mobile Phone Vendors and Telecommunication Service Operators in Japan | p. 135 |
7.1 Introduction | p. 136 |
7.1.1 Background | p. 136 |
7.1.2 Hypotheses | p. 138 |
7.1.3 Existing Works | p. 139 |
7.1.4 Prime Objectives of the Investigation | p. 140 |
7.1.5 Structure of the Chapter | p. 141 |
7.2 A Market Dominated by High-End Handsets Due to High Learning Effect | p. 141 |
7.2.1 Methodology | p. 141 |
7.2.2 Results and Discussion | p. 143 |
7.3 A Market Dominated by Order-Made Models Due to Close Cooperation Between Vendors and Operators | p. 147 |
7.3.1 Methodology | p. 147 |
7.3.2 Results and Discussion | p. 148 |
7.4 A Virtuous Cycle Between Demand and Supply Sides Driving Japan's Co-Evolutionary Mobile-Driven Innovations and Institutions | p. 153 |
7.5 Conclusions | p. 155 |
7.5.1 General Summary | p. 155 |
7.5.2 New Findings | p. 155 |
7.5.3 Policy Implications | p. 156 |
7.5.4 Future Works | p. 156 |
References | p. 157 |
8 Technopreneurial Trajectory Leading to Bipolarization of Entrepreneurial Contour in Japan's Leading Firms | p. 159 |
8.1 Introduction | p. 159 |
8.2 Co-Evolutionary Dynamism Between Mobile Phone Driven Innovation and Institutional Systems: Cumulative Learning Leading to Creating New Functionality | p. 161 |
8.2.1 Dramatic Decline in Japan's Productivity in an Information Society in the 1990s | p. 161 |
8.2.2 Mobile Phone Driven Innovation Emerged in the 2000s | p. 161 |
8.2.3 Swell of Reactivation of the Co-Evolutionary Dynamism | p. 166 |
8.2.4 Implications | p. 169 |
8.3 Transformation in Entrepreneurial Contour in Leading Firms Facing the Transition to a Post Information Society: Output-Oriented R&D Based on External Acquisition | p. 170 |
8.3.1 Co-Evolution in High-Technology Firm Technopreneurial Structure | p. 170 |
8.3.2 Bi-Polarization in Technopreneurial Situation | p. 171 |
8.3.3 External Acquisition for OIR Substitution for R&D Intensity | p. 173 |
8.3.4 Implications | p. 175 |
8.4 Conclusion | p. 176 |
References | p. 177 |
9 Technological Diversification: Strategic Trajectory Leading to an Effective Utilization of Potential Resources in Innovation: A Case of Canon | p. 179 |
9.1 Introduction | p. 179 |
9.2 R&D Diversification and Assimilation of Spillover Technology | p. 181 |
9.2.1 Increasing Dependency on Spillover Technology | p. 181 |
9.2.2 Technology Distance, Technological Proximity and Technological Position | p. 181 |
9.2.3 R&D Diversification and Technological Distance | p. 184 |
9.3 Measurement of Technological Diversification | p. 185 |
9.3.1 Measurement of Canon's Technology Development Trajectory | p. 185 |
9.3.2 Measurement of Technological Diversification | p. 187 |
9.4 Contribution of Technological Diversification to High Income Structure | p. 191 |
9.4.1 Contribution to Operating Income to Sales (OIS) | p. 191 |
9.4.2 Technological Diversification and Marginal Productivity of Technology | p. 195 |
9.4.3 Technological Diversification and Increase in Total Factor Productivity | p. 201 |
9.4.4 Technological Diversification and Internal Rate of Return to R&D Investment | p. 202 |
9.5 Factors Inducing a Virtuous Cycle Between R&D Investment and Technological Diversification | p. 204 |
9.5.1 Inducing Factors of Technological Diversification | p. 204 |
9.5.2 Factors Governing Internal Rate of Return to R&D Investment | p. 206 |
9.5.3 Dynamism Leading to a Virtuous Cycle for Technological Diversification | p. 206 |
9.6 Conclusion | p. 207 |
References | p. 208 |
10 Japan's Coevolutionary Dynamism Between Innovation and Institutional Systems: Hybrid Management Fusing East and West | p. 211 |
10.1 Introduction | p. 211 |
10.2 Japan's Indigenous Explicit Function | p. 212 |
10.2.1 Japan's Development Trajectory: Historical Perspectives | p. 212 |
10.2.2 Japan Indigenous Institutional Systems for Innovation | p. 213 |
10.2.3 Inducement of Innovation: Overcoming the Growth Constraints | p. 213 |
10.2.4 Technology Substitution for Constrained Production Factors | p. 214 |
10.2.5 Conspicuous Energy Efficiency and World Top Level Manufacturing Technology | p. 214 |
10.3 Lost Decade and Reactivation | p. 216 |
10.3.1 Contrast Between Coevolution and Disengagement | p. 216 |
10.3.2 Reactivation of Coevolutionary Dynamism | p. 219 |
10.4 Hybrid Management: Fuses East and West | p. 221 |
10.4.1 Japan's Indigenous Potential in Fusing: Learning and Assimilation | p. 221 |
10.4.2 Swell of Japan's Institutional MOT Toward a Post-Information Society | p. 223 |
10.5 Canon's Success in Hybrid Management | p. 224 |
10.5.1 Canon's Conspicuous Performance | p. 224 |
10.5.2 Functionality Development as a Source of High-Performance | p. 225 |
10.5.3 Fusing Option | p. 226 |
10.5.4 Global Co-evolution for Sustainable Development | p. 228 |
10.6 Conclusion | p. 228 |
References | p. 230 |
11 Conclusion | p. 233 |
11.1 Formation of IT Features Through Interaction with Institutional Systems: Empirical Evidence of Unique Epidemic Behavior | p. 233 |
11.2 Institutional Elasticity as a Significant Driver of IT Functionality Development | p. 234 |
11.3 A Substitution Orbit Model of Competitive Innovations | p. 235 |
11.4 Impacts of Functionality Development on Dynamism Between Learning and Diffusion of Technology | p. 236 |
11.5 Diffusion, Substitution and Competition Dynamism Inside the ICT Market: A Case of Japan | p. 238 |
11.6 The Co-evolution Process of Technological Innovation: An Empirical Study of Mobile Phone Vendors and Telecommunication Service Operators in Japan | p. 242 |
11.7 Technopreneurial Trajectory Leading to Bipolarization of Entrepreneurial Contour in Japan's Leading Firms | p. 244 |
11.8 Technological Diversification: Strategic Trajectory Leading to an Effective Utilization of Potential Resources in Innovation: A Case of Canon | p. 245 |
11.9 Japan's Co-evolutionary Dynamism Between Innovation and Institutional Systems: Hybrid Management Fusing East and West | p. 246 |